日像仪是利用综合孔径原理对太阳进行射电成像的大规模天线阵,其成功研制是我国天文工作者几代人的梦想。申请人在前期基金中利用仿真数据研究了压缩感知理论在日像仪成像中的可行性和仿真验证。本课题则重点研究基于实测数据的成像技术。通过构建基于日像仪成像原理和太阳自身特性的正则化项，减弱噪声在成像过程中的降质作用。具体地，提出基于闭合量约束的单通道成像模型和算法，排除大气及电离层干扰；充分利用辐射源在不同通道上体现出的重心对齐特性，提出基于重心对齐约束的多通道联合成像模型和算法，降低频间干扰。在此基础上，研究基于实测数据和半实物仿真数据的迭代成像方法，推进研究成果的工程化应用，形成由压缩感知理论、信号稀疏表示方法、图像重建模型、优化求解算法、日像仪仿真技术构成的日像仪成像综合理论体系。课题研究对我国日像仪及重大设备的研制有较大的推动作用。研究结果可应用于军民商各领域，具有较高应用价值。

Heliograph is a large scale antenna array for generating radio solar images by levering the pinciple of synthesis aperture, which has attracted tremendous efforts of Chinese astronomies in the past decades. In the previous project, we have extensively studied the feasibility of applying compressed sensing to generate heliograph images by using the simulated data. This proposal is focused on developing the Heliograph imaging techniques based on the measurement dataset that will be acquired by the small scale antenna array..One of our major objectives is to reduce the impact of noise on imaging processing by constructing the regularization items based on the synthesis aperture principle and solar characteristics. Specifically, we will study the imaging model and algorithm for single channel based on closure qualities, as well as the joint imaging model and algorithm for multi-channel based on Center Align. Based on the results, we will further develop the iterated imaging methods base on the actual measurement data and semi-physical simulated data. The results of this project will not only benefit to engineering applications, but also contribute to establishing a solid heliograph imaging theoretic framework by seamlessly integrating the compressed sensing theories, signal sparse representation methods, image reconstruction models, optimization algorithms and heliography simulation techniques together. In addition, this project is expected to significantly advance the development of heliographs and imaging processing techniques in China, and greatly benefit to various commercial,civil and military domains.